e-space
Manchester Metropolitan University's Research Repository

    Towards monitoring biodegradation of starch-based bioplastic in anaerobic condition: finding a proper kinetic model

    Ebrahimzade, Iman, Ebrahimi-Nik, Mohammadali, Rohani, Abbas and Tedesco, Silvia ORCID logoORCID: https://orcid.org/0000-0003-2447-3673 (2022) Towards monitoring biodegradation of starch-based bioplastic in anaerobic condition: finding a proper kinetic model. Bioresource Technology, 347. p. 126661. ISSN 0960-8524

    [img]
    Preview
    Accepted Version
    Available under License Creative Commons Attribution Non-commercial No Derivatives.

    Download (1MB) | Preview

    Abstract

    Bioplastic biodegradation showed varying behavior during the process of biodegradation. The First-order and Gompertz models are the most prevalent models for monitoring biodegradation in an anaerobic digestion (AD) process, which do not suit adequately bioplastics fermentation modeling. This research aimed at studying the kinetics of methane production during AD of starch-based bioplastic by using a large library of non-linear regressions (NLRs) and an artificial neural network (ANN). Although 26 NLR models (25 were outlined in the AD literature + 1 modified by authors) have been analyzed, 9 of them were proper predictors for the whole AD process for methane production. In the end M9, which has been proposed by authors, was selected owing to the simplicity of regression as well as good statistical criteria. Moreover, MLP-ANN could outperform the NLR model and has been selected as the superior model that can define the kinetics of bioplastic AD.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    331Downloads
    6 month trend
    164Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Repository staff only

    Edit record Edit record